Triple

T3201867
Position Surface form Disambiguated ID Type / Status
Subject A Tree Grows in Brooklyn (1945 film) E67068 entity
Predicate hasTitle P38 FINISHED
Object A Tree Grows in Brooklyn E67068 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: A Tree Grows in Brooklyn | Statement: [A Tree Grows in Brooklyn (1945 film), hasTitle, A Tree Grows in Brooklyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Tree Grows in Brooklyn
Context triple: [A Tree Grows in Brooklyn (1945 film), hasTitle, A Tree Grows in Brooklyn]
  • A. A Tree Grows in Brooklyn chosen
    A Tree Grows in Brooklyn is a 1945 American drama film adaptation of Betty Smith’s novel, focusing on a young girl’s coming-of-age in a poor Brooklyn family in the early 20th century.
  • B. Little Women
    Little Women is a classic coming-of-age novel by Louisa May Alcott that follows the lives, struggles, and personal growth of the four March sisters during and after the American Civil War.
  • C. Shirley
    Shirley is a small town in north-central Massachusetts served by commuter rail on the MBTA Fitchburg Line.
  • D. Shirley
    Shirley is an English surname of Old English origin that has also become a common given name.
  • E. Shirley
    Shirley is the given name of Shirley Ann Jackson, a prominent American physicist and trailblazing academic leader.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada9b046c8819087c0a61c4f9adeb7 completed March 8, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2770201888190af6cbeded6d1ae56 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.